Linsey Pang

Distinguished AI Scientist, AI, PayPal Inc.

Joined

September 2020

Names

Linsey Pang (Preferred)

Emails

****@walmartlabs.com (Confirmed)

****@gmail.com (Confirmed)

****@salesforce.com

****@paypal.com (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Distinguished AI Scientist

AI, PayPal Inc. (paypal.com)

2025 – Present

Principal Data Scientist

ML, salesforce.com (salesforce.com)

2022 – 2025

Principal Data Scientist

DS, Walmart Labs (walmartlabs.com)

2021 – 2022

Staff Data Scientist

DS, Walmart Labs (walmartlabs.com)

2019 – 2021

Data scientist

DS, eBay Inc. (ebay.com)

2016 – 2019

PhD student

Data Mining, University of Sydney (usyd.edu.au)

2010 – 2014

Advisors, Relations & Conflicts

Phd advisor

sanjay chawla

2010 – 2014

Expertise

Recommendation and Personalization

2021 – Present

reinforcement learning

2019 – Present

deep learning

2019 – Present

NLP

2019 – Present

outlier detection

2010 – 2014

Publications

Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures
Georgios Ioannides, Adrian Kieback, Judah Goldfeder, Linsey Pang, Aman Chadha, Aaron C Elkins, Yann LeCun, Ravid Shwartz-Ziv
- ArXiv
- Readers: Everyone
Ada-RS: Adaptive Rejection Sampling for Selective Thinking
Yirou Ge, Yixi Li, Alec M. Chiu, Shivani Shekhar, Zijie Pan, Avinash Thangali, Yun-Shiuan Chuang, Chaitanya Kulkarni, Uma Kona, Linsey Pang, Prakhar Mehrotra
- ACL 2026 Industry Track Poster
- Readers: Everyone
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
Yun-Shiuan Chuang, Chaitanya Kulkarni, Alec M. Chiu, Avinash Thangali, Zijie Pan, Shivani Shekhar, Yirou Ge, Yixi Li, Uma Kona, Linsey Pang, Prakhar Mehrotra
- ACL 2026 Industry Track Poster
- Readers: Everyone
TAME: A Task-Agnostic Framework for Robust Graph Neural Network Explanations via Structural Mixup
Jialiang Yin, Zheng Zhao, Linsey Pang, Bo Dong, Jiaxing Zhang, Bin Shi
- Submitted to ICLR 2026
- Readers: Everyone
BACKDOOR COLLAPSE: ELIMINATING UNKNOWN THREATS VIA KNOWN BACKDOOR AGGREGATION IN LANGUAGE MODELS
Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Solving Normalized Cut Problem with Constrained Action Space
Qize Jiang, Linsey Pang, Alice Gatti, Mahima Aggarwal, Giovanna Vantini, Xiaosong Ma, Weiwei Sun, Sanjay Chawla
- Submitted to ICLR 2025
- Readers: Everyone
$S^2AC$: ENERGY-BASED REINFORCEMENT LEARNING WITH STEIN SOFT ACTOR CRITIC
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
- FMDM@NeurIPS2023
- Readers: Everyone
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
- ICLR 2024 poster
- Readers: Everyone
On Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio Tozeto Ramos, Sanjay Chawla
- 2014 (modified: 07 Aug 2024)
- NIPS 2014
- Readers: Everyone

Co-Authors

View all 46 co-authors